EVAI Charge

The work proposed in this project aims to develop an Electric Vehicle (EV) charging network management platform that incorporates a large variety of features associated with the use and charging of EVs and building management in a microgrid context, for application in commercial/services buildings for automatically and smartly schedule EVs charging. The main innovation and objective of the platform to be developed in the scope of this project is to develop an adequate and intelligent automated power charging management of an EV fleet, increasing charging capacity without the need for electrical infrastructure upgrades. This power management is made, taking into consideration multiple inputs and parameters/restrictions acquired from different sources, in real-time, ensuring that the electrical building power demand is not exceeded. The platform intends to keep up with industry trends and prepare buildings for the future of electric transportation. The preliminary list of data inputs and parameters/restrictions include: EV state of charge, energy storage, renewable energy production, building power demand, user/EV mobility behaviour and agenda, demand response strategies, V2B/B2V, routing, energy tariffs and scheduling. Based on all the multiple inputs, parameters, restrictions and other definitions, the platform will take decisions, based on computer intelligence algorithms to be developed, in order to manage the power and charging time of each charging point of an EV fleet, prioritizing them and performing an efficient use of the energy resources available on the building. The developed platform will be tested in a pilot demonstrator using the smart grid infrastructure that is already installed in the co-promoter facilities. The “EVAI Charge” is a complete solution for a charging network management: it includes hardware (EVSE, energy meters, demand response equipment) and software (user friendly interface and computer intelligent algorithms for automated energy resource management). It will be compatible with most of the market existing controllable EVSEs and demand response equipment's.